Video and Image Upscaling API

cURL

curl --request GET \
  --url https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/ \
  --header 'Authorization: <api-key>'

import requests

url = "https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/"

headers = {"Authorization": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/")
  .header("Authorization", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

response = http.request(request)
puts response.read_body

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created_at": "2023-11-07T05:31:56Z",
  "error_message": "<string>",
  "status": "queued",
  "description": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "finished_at": "2023-11-07T05:31:56Z",
  "processing_time_seconds": 123,
  "cost_credits": "<string>",
  "prompt": "<string>",
  "style_settings": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "model_name": "hexal_standard_t2v",
  "model_config": "<unknown>",
  "num_requested_images": 123
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

GET

api

tensorshots

projects

{project_pk}

jobs

text-to-image

{job_pk}

cURL

curl --request GET \
  --url https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/ \
  --header 'Authorization: <api-key>'

import requests

url = "https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/"

headers = {"Authorization": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/")
  .header("Authorization", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://backend.tensorpix.ai/api/v2/tensorshots/projects/{project_pk}/jobs/text-to-image/{job_pk}/")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

response = http.request(request)
puts response.read_body

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created_at": "2023-11-07T05:31:56Z",
  "error_message": "<string>",
  "status": "queued",
  "description": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "finished_at": "2023-11-07T05:31:56Z",
  "processing_time_seconds": 123,
  "cost_credits": "<string>",
  "prompt": "<string>",
  "style_settings": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "model_name": "hexal_standard_t2v",
  "model_config": "<unknown>",
  "num_requested_images": 123
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

{
  "detail": "<string>"
}

Authorizations

Authorization

string

header

required

Token-based authentication with required prefix "Token"

Path Parameters

job_pk

string<uuid>

required

project_pk

string<uuid>

required

Response

Serializer for creating image-to-image jobs.

string<uuid>

required

read-only

created_at

string<date-time>

required

read-only

Datetime when the record was created.

error_message

string

required

read-only

Error details if job failed.

status

enum<string>

required

Current job status.

queued - Queued
processing - Processing
expired - Expired
cancelled - Cancelled
completed - Completed
failed - Failed

Available options:

queued,

processing,

expired,

cancelled,

completed,

failed

description

string

required

read-only

Human-readable job description.

started_at

string<date-time>

required

read-only

When job processing started.

finished_at

string<date-time> | null

required

read-only

When the job processing successfully finished.

processing_time_seconds

number<double>

required

read-only

Calculate job processing time in seconds. If the job is still processing, calculate time since started. If the job was cancelled, deleted, calculate time until that point. if the job is completed, calculate time until finished.

cost_credits

string<decimal>

required

read-only

Job cost in 🪙 Credits.

Pattern: ^-?\d{0,8}(?:\.\d{0,2})?$

prompt

string

required

read-only

Prompt text to generate from.

style_settings

string<uuid>[]

required

read-only

Style presets applied to this job (camera, lighting, generation, etc.)

model_name

enum<string>

required

AI model used for generation (e.g., 'dall-e-3', 'gpt-4', 'runway-gen3').

hexal_standard_t2v - Hexal Standard T2V
hexal_fast_i2v - Hexal Fast I2V
hexal_ultra_t2v - Hexal Ultra T2V
hexal_standard_i2v - Hexal Standard I2V
hexal_standard_nsfw_i2v - Hexal Standard NSFW I2V
hexal_ultra_i2v - Hexal Ultra I2V
hexal_ultra_nsfw_i2v - Hexal Ultra NSFW I2V
atlas_ultra_i2v - Atlas Ultra I2V
atlas_ultra_nsfw_i2v - Atlas Ultra NSFW I2V
volta_standard_i2v - Volta Standard I2V
volta_ultra_i2v - Volta Ultra I2V
veo_3_1_generate_preview - Veo 3.1 Generate Preview
veo_3_1_fast_generate_preview - Veo 3.1 Fast Generate Preview
veo_3_1_fast_generate_preview_v2 - Veo 3.1 Fast Fal
veo_3_1_fast_fal_first_last_frame_i2v - Veo 3.1 Fast Fal First/Last Frame
veo_3_1_fal_i2v - Veo 3.1 Fal I2V
veo_3_1_fal_first_last_frame_i2v - Veo 3.1 Fal First/Last Frame
seedance_2_0_i2v - Seedance 2.0 I2V
seedance_2_0_fast_i2v - Seedance 2.0 Fast I2V
seedance_2_0_t2v - Seedance 2.0 T2V
kling_3_0_i2v - Kling 3.0 I2V
kling_3_0_pro_i2v - Kling 3.0 Pro I2V
kling_3_0_turbo_standard_i2v - Kling 3.0 Turbo Standard I2V
kling_3_0_turbo_pro_i2v - Kling 3.0 Turbo Pro I2V
kling_2_6_pro_i2v - Kling 2.6 Pro I2V
sora_2_i2v - Sora 2 I2V
sora_2_pro_i2v - Sora 2 Pro I2V
radix_i2i - Radix I2I
radix_t2i - Radix T2I
nebula_i2i - Nebula I2I
nebula_nsfw_i2i - Nebula NSFW I2I
nebula_t2i - Nebula T2I
nebula_nsfw_t2i - Nebula NSFW T2I
refina_i2i - Refina I2I
refina_t2i - Refina T2I
zephyr_i2i - Zephyr I2I
zephyr_t2i - Zephyr T2I
gemini_3_1_flash_i2i - Gemini 3.1 Flash I2I
gemini_3_1_flash_t2i - Gemini 3.1 Flash T2I
gpt_image_2_t2i - GPT Image 2 T2I
gpt_image_2_i2i - GPT Image 2 I2I
seedream_5_0_pro_t2i - Seedream 5.0 Pro T2I
seedream_5_0_pro_i2i - Seedream 5.0 Pro I2I
grok_imagine_image_t2i - Grok Imagine Image T2I
grok_imagine_image_i2i - Grok Imagine Image I2I
grok_imagine_image_quality_t2i - Grok Imagine Image Quality T2I
grok_imagine_image_quality_i2i - Grok Imagine Image Quality I2I
parallax_t2a - Parallax T2A
elevenlabs_v3_t2a - ElevenLabs V3 T2A
happy_horse_1_0_i2v - Happy Horse 1.0 I2V
grok_imagine_video_i2v - Grok Imagine Video I2V
grok_imagine_video_1_5_i2v - Grok Imagine Video 1.5 I2V
gemini_omni_flash_i2v - Gemini Omni Flash I2V
wan_2_7_i2v - Wan 2.7 I2V

Available options:

hexal_standard_t2v,

hexal_fast_i2v,

hexal_ultra_t2v,

hexal_standard_i2v,

hexal_standard_nsfw_i2v,

hexal_ultra_i2v,

hexal_ultra_nsfw_i2v,

atlas_ultra_i2v,

atlas_ultra_nsfw_i2v,

volta_standard_i2v,

volta_ultra_i2v,

veo_3_1_generate_preview,

veo_3_1_fast_generate_preview,

veo_3_1_fast_generate_preview_v2,

veo_3_1_fast_fal_first_last_frame_i2v,

veo_3_1_fal_i2v,

veo_3_1_fal_first_last_frame_i2v,

seedance_2_0_i2v,

seedance_2_0_fast_i2v,

seedance_2_0_t2v,

kling_3_0_i2v,

kling_3_0_pro_i2v,

kling_3_0_turbo_standard_i2v,

kling_3_0_turbo_pro_i2v,

kling_2_6_pro_i2v,

sora_2_i2v,

sora_2_pro_i2v,

radix_i2i,

radix_t2i,

nebula_i2i,

nebula_nsfw_i2i,

nebula_t2i,

nebula_nsfw_t2i,

refina_i2i,

refina_t2i,

zephyr_i2i,

zephyr_t2i,

gemini_3_1_flash_i2i,

gemini_3_1_flash_t2i,

gpt_image_2_t2i,

gpt_image_2_i2i,

seedream_5_0_pro_t2i,

seedream_5_0_pro_i2i,

grok_imagine_image_t2i,

grok_imagine_image_i2i,

grok_imagine_image_quality_t2i,

grok_imagine_image_quality_i2i,

parallax_t2a,

elevenlabs_v3_t2a,

happy_horse_1_0_i2v,

grok_imagine_video_i2v,

grok_imagine_video_1_5_i2v,

gemini_omni_flash_i2v,

wan_2_7_i2v

model_config

any

required

read-only

Model-specific configuration parameters (temperature, style, quality, etc.).

num_requested_images

integer

required

read-only

Number of images to generate (1-10).

Endpoints

Get apiv2tensorshotsprojects jobstext to image

Authorizations

Path Parameters

Response